期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到250,368篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Entropy-Controlled Exsolution of Highly Dispersed Nickel-Based Active Metals From Spinel Oxide via Optimizing Metal-Support Interaction for Dry Reforming of Methane 认领 引用 被引量：1
1
作者 Yuxuan Meng Yuefan Tuo +8 位作者 Yao Xue Xiaofeng Yan Zhengkun Luo Qianrui Yang Stanislav Chernyshikhin Yilong Yan Meng Lin Yufei Zhao Xianguang Meng 《Carbon Energy》 SCIE EI CAS CSCD 2026年第2期132-143,共12页
Sintering and coking are critical barriers to achieving high performance in dry reforming of methane(DRM)catalysts.A finely dispersed and thermostable Ni-based catalyst is the key to address these issues.By leveraging... Sintering and coking are critical barriers to achieving high performance in dry reforming of methane(DRM)catalysts.A finely dispersed and thermostable Ni-based catalyst is the key to address these issues.By leveraging the intrinsic superiorities of high-entropy oxides in high-temperature stability and low atomic diffusivity,in this study,a highly dispersed Ni-based catalyst is synthesized via an entropycontrolled exsolution of active components.By increasing the number of transition-metal elements in spinel oxides,the active metalsupport interaction(MSI)can be continuously strengthened,which controls the exsolution and thermal stability of Ni-based active metal in harsh reaction conditions of DRM.An optimized medium-entropy spinel(Mg0.4Ni0.2Co0.2Zn0.2)Al2O4with the exsolution of finely dispersed Ni–Co nanoparticles displayed superior activity and stability in thermal DRM at 800°C and photothermal DRM.This entropy-controlled MSI and exsolution principle provides a significant strategy for designing robust catalysts resistant to sintering and coking for high-temperature reactions like DRM in thermal and photothermal systems. 展开更多
关键词 dry reforming of methane exsolution high‐entropy N icatalyst spinel
暂未订购 下载PDF
Robust control strategy for semi-active air suspension systems based on reinforcement learning with entropy theory 认领 引用
2
作者 Da Wang Guoqing Zhang +3 位作者 Chunyang Qi Chuanxue Song Feng Xiao Liqiang Jin 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第7期541-554,共14页
This study proposes a robust control strategy for semi-active air suspension systems(SASS)based on entropy theory.The multi-objective optimization of a system can be described as a long-term problem using entropy valu... This study proposes a robust control strategy for semi-active air suspension systems(SASS)based on entropy theory.The multi-objective optimization of a system can be described as a long-term problem using entropy values by innovatively introducing entropy theory.The state marginal probability of the SASS is incorporated into the reward function as the entropy value.This incorporation incentivizes the agent to focus on reducing the entropy value of the system state over a period of time during the exploration process,thereby reducing the degree of coupling between system states.This study also proposes an optimization strategy that introduces a state observer based on a variational auto-encoder.The observer can extract environmental features from historical states and expand the dimension of the state,thereby enhancing the generalization performance of the system under different road excitations.Bench test results show that the algorithm improves ride comfort while ensuring robustness.The root mean square(RMS)of body vertical acceleration decreased by 13.01%,while the RMS of dynamic tyre displacement only increased by 2.36%. 展开更多
关键词 Semi-active air suspension Entropy theory Robust controls Variational auto-encoder
暂未订购 下载PDF
Enhancing the Ionic Conduction of Ceria-Based Electrolytes for LT-SOFCs via Entropy Engineering 认领 引用
3
作者 Xiu-Xiu Li En-Yi Hu +4 位作者 Fa-Ze Wang Jun Wang Chen Xia Aleksandar Staykov Peter Lund 《Rare Metals》 SCIE EI CAS CSCD 2026年第1期616-628,共13页
Developing alternative electrolytes with enhanced ionic conductivity is crucial to reducing the operating temperature of solid oxide fuel cells(SOFCs)for broader applications.Entropy engineering offers many opportunit... Developing alternative electrolytes with enhanced ionic conductivity is crucial to reducing the operating temperature of solid oxide fuel cells(SOFCs)for broader applications.Entropy engineering offers many opportunities for material design,presenting a promising avenue to develop new electrolytes.In this work,two new ceria-based electrolytes,the medium-entropy Sm0.25La0.25Pr0.25Ce0.25O2-δ(SLPC25)and low-entropy Sm0.05La0.05Pr0.05Ce0.85O2-δ(SLPC5)are designed for low-temperature SOFCs using the entropy engineering strategy,with pure CeO2as a reference.It is found that higher configurational entropy leads to enriched oxygen vacancies in the two oxides and thus enhances the ionic transport,which is verified through material characterizations,density functional theory calculations,and cell performance tests.The medium-entropy SLPC25exhibits superior cell performance(836 mW cm-2)and improved ionic conductivity(0.09 S cm-1)at 520℃as compared to those of the low-entropy SLPC5 and CeO2.Further investigation confirms the hybrid proton-oxygen ion conduction and good fuel cell stability of the SLPC25 electrolyte.This study indicates that higher entropy enhances the ionic conductivity and cell performance of ceria-based electrolytes.The entropy engineering strategy used here holds significant potential to develop advanced electrolytes for low-temperature SOFCs. 展开更多
关键词 ceria electrolyte electrochemical performance entropy engineering ionic conductivity SOFCs
暂未订购 下载PDF
A hybrid prediction model based on decomposition algorithm and sample entropy-weighted attention mechanism for mobile robot agricultural environment monitoring 认领 引用
4
作者 Jiangxun LIU Zijun LIU Hui LIU 《ENGINEERING Agriculture》 CAS CSCD 2026年第4期121-137,共17页
The accumulation and spread of agricultural environmental pollutants pose a serious threat to the ecological environment and crop growth.Accurately predicting changes in pollutant concentrations is of great significan... The accumulation and spread of agricultural environmental pollutants pose a serious threat to the ecological environment and crop growth.Accurately predicting changes in pollutant concentrations is of great significance for achieving sustainable agricultural development.In response to the challenges of predicting pollutant concentrations in agricultural environments,this paper proposes a novel hybrid deep learning model.The variational mode decomposition algorithm is used to process raw data,reducing nonlinearity and enhancing feature distinguishability.A double-layer attention mechanism based on sample entropy evaluates sub-sequences and focuses on key regions,further improving the predictive performance of the model.Finally,a long short-term memory neural network is used to obtain prediction results.In time series prediction experiments involving multiple pollutants,the proposed method demonstrated the needed stability and accuracy.Experimental results indicate that,compared to existing methods,this approach achieves a minimum improvement of 4.8%in mean absolute error and 23.5%in mean absolute percentage error for predicting concentrations of three pollutants.Also,the root mean square error of predictions is reduced by up to 29.1%.This study provides reliable technical support for agricultural environmental pollutant monitoring.With mean absolute errors of 5.92,6.85,and 2.38 for CO,non-methane hydrocarbons and NO2 predictions respectively,it accurately predicts pollutant variation risks.In the future,it can be deployed on mobile robot platforms to achieve automatic monitoring and early warning,thereby promoting the development of smart agriculture. 展开更多
关键词 Agricultural environment monitoring attention mechanism pollutant concentration prediction sample entropy
暂未订购 下载PDF
An entropy-based multi-criteria approach for intensity measure selection in seismic resilience of structures 认领 引用
5
作者 Junzhi Liao Davide Forcellini +1 位作者 Jason Fang Lizhi Sun 《Resilient Cities and Structures》 EI CSCD 2026年第1期1-13,共13页
Seismic resilience(SR)has emerged as a critical focus in earthquake engineering to evaluate the ability of structures to endure,recover from,and adapt to seismic events.This study presents an entropy-based multicriter... Seismic resilience(SR)has emerged as a critical focus in earthquake engineering to evaluate the ability of structures to endure,recover from,and adapt to seismic events.This study presents an entropy-based multicriteria approach for selecting optimal intensity measures(IMs)to assess SR of structures.Eight representative IMs,derived from time histories and response spectrum are evaluated.Incremental dynamic analysis is con-ducted on a reinforced concrete structure,using engineering demand parameters such as the maximum interstory drift and floor acceleration to generate fragility curves via a probabilistic seismic demand model.The optimal IMs are identified through a multi-criteria decision-making process,with scores calculated using the entropy weight method to incorporate factors such as efficiency,proficiency,and uncertainty based on infor-mation entropy.An effective SR framework is derived from fragility results.The findings indicate that peak ground velocity and spectral IMs are the most effective,while energy-related IMs underestimate SR.The study highlights the importance of optimizing IMs for more accurate seismic resilience assessments.The proposed entropy-based multi-criteria approach is shown to be both reliable and effective for selecting optimal IMs in this context. 展开更多
关键词 Intensity measure Seismic resilience Multi-criteria decision making Probabilistic seismic demand model Entropy Uncertainty quantification
暂未订购 下载PDF
A low-temperature strategy enables atomic-level control in noble metal-based high-entropy catalysts 认领 引用
6
作者 Zhilin Meng Haiying Lu Weijie Li 《Chinese Journal of Structural Chemistry》 SCIE CAS CSCD 2026年第3期1-3,共3页
High-entropy alloys(HEAs)are recognized for their unique struc-tures and broad compositional flexibility,making them promising ma-terials for electrocatalysis[1].These multi-element systems offer exceptional activity ... High-entropy alloys(HEAs)are recognized for their unique struc-tures and broad compositional flexibility,making them promising ma-terials for electrocatalysis[1].These multi-element systems offer exceptional activity and durability in key energy conversion processes,including methanol oxidation and CO2reduction[2]. 展开更多
关键词 multi element systems low temperature strategy high entropy alloys high entropy catalysts noble metal based methanol oxidation energy conversion processesincluding atomic level control
Fault diagnosis of rolling bearing based on two-dimensional composite multi-scale ensemble Gramian dispersion entropy 认领 引用
7
作者 Wenqing Ding Jinde Zheng +3 位作者 Jianghong Li Haiyang Pan Jian Cheng Jinyu Tong 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第1期125-144,共20页
One-dimensional ensemble dispersion entropy(EDE1D)is an effective nonlinear dynamic analysis method for complexity measurement of time series.However,it is only restricted to assessing the complexity of one-di-mension... One-dimensional ensemble dispersion entropy(EDE1D)is an effective nonlinear dynamic analysis method for complexity measurement of time series.However,it is only restricted to assessing the complexity of one-di-mensional time series(TS1d)with the extracted complexity features only at a single scale.Aiming at these problems,a new nonlinear dynamic analysis method termed two-dimensional composite multi-scale ensemble Gramian dispersion entropy(CMEGDE2D)is proposed in this paper.First,the TS1D is transformed into a two-dimensional image(I2D)by using Gramian angular fields(GAF)with more internal data structures and geometri features,which preserve the global characteristics and time dependence of vibration signals.Second,the I2D is analyzed at multiple scales through the composite coarse-graining method,which overcomes the limitation of a single scale and provides greater stability compared to traditional coarse-graining methods.Subsequently,a new fault diagnosis method of rolling bearing is proposed based on the proposed CMEGDE2D for fault feature ex-traction and the chicken swarm algorithm optimized support vector machine(CsO-SvM)for fault pattern identification.The simulation signals and two data sets of rolling bearings are utilized to verify the effectiveness of the proposed fault diagnosis method.The results demonstrate that the proposed method has stronger dis-crimination ability,higher fault diagnosis accuracy and better stability than the other compared methods. 展开更多
关键词 Composite multi-scale ensemble Gramian dispersion entropy Dispersion entropy Fault diagnosis Rolling bearing Feature extraction
暂未订购 下载PDF
Entropy-based feature combination method for ship radiated noise in underwater acoustics target recognition 认领 引用
8
作者 Chenqi Jiang Wei Zheng +1 位作者 Biao Wang Zhenkai Zhang 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2026年第2期227-245,共19页
Ship radiated noise(SRN)is an important source of information for passive sonar systems to identify ship targets.Passive sonar detection and recognition of underwater targets have become increasingly difficult due to ... Ship radiated noise(SRN)is an important source of information for passive sonar systems to identify ship targets.Passive sonar detection and recognition of underwater targets have become increasingly difficult due to the continuous improvement of the ability of underwater acoustic targets to reduce shock and noise.To address this issue,this paper proposes a method for underwater acoustic target recognition that combines the time-domain,frequency-domain,and entropy features of radiated noise.The entropy features exhibit low computational complexity and strong noise robustness,making them highly suitable for quantifying the complexity of SRN signals.Unlike existing studies that focus only on the fusion of entropy metrics,we proposed a multi-frequency-band entropy-based feature combination,which significantly enhances noise robustness while reducing computational complexity.The proposed method combines the permutation entropy(PE)from full frequency band,envelope entropy(EE)from 4−8 kHz frequency band,and spectral entropy(SE)from 0.01−0.1 kHz frequency band with time-domain features(mean and variance)and frequency-domain features(spectral centroid,kurtosis,and variance).The above features were extracted from the DeepShip dataset and input into different classifiers,including random forest(RF),AdaBoost,convolutional neural networks(CNN)and other machine learning classifiers,to verify the effectiveness of the features.The experimental results showed that the proposed method achieved the recognition accuracy of 85.92%and 86.59%on the RF and AdaBoost models,respectively.Although the CNN model was included only as a structural baseline,it still outperformed mainstream deep learning models with the accuracy of 80.71%.In addition,ocean background noise interference was introduced into the experimental data to verify the robustness of the proposed method and compared the results of the proposed method with existing mainstream methods.The results showed that the proposed method exhibited a better recognition performance. 展开更多
关键词 machine learning target recognition ship radiated noise entropy feature fusion feature extraction
暂未订购 下载PDF
ESG-Integrated Performance Evaluation of Regional PPP Infrastructure Projects:An Analytical Framework Based on the Entropy-TOPSIS Model 认领 引用
9
作者 Jyh-Harng Shyng 《Proceedings of Business and Economic Studies》 2026年第6期103-109,共7页
Public-Private Partnership(PPP)models play a pivotal role in advancing infrastructure development at the local level,particularly in town and rural areas.Scientific,comprehensive,and objective performance evaluation o... Public-Private Partnership(PPP)models play a pivotal role in advancing infrastructure development at the local level,particularly in town and rural areas.Scientific,comprehensive,and objective performance evaluation of such projects is crucial for optimizing resource allocation and enhancing long-term sustainability.This study introduces the Environmental,Social,and Governance(ESG)framework to construct a multidimensional evaluation index system.The Entropy Method is employed to determine objective indicator weights,combined with the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS),to evaluate several typical local town and rural PPP construction projects in Guangdong.The evaluation results clearly demonstrate project performance rankings,identify key strengths and weaknesses,and provide theoretical and practical references for project performance management and ESG-oriented optimization of PPP models. 展开更多
关键词 PPP Performance evaluation TOPSIS Entropy method ESG
暂未订购 下载PDF
Measurement of Digital Economy Development Level and Regional Differences in Shandong Province Based on Logistic-Entropy Weight Method 认领 引用
10
作者 Wen Jiang Yijiu Ding 《Journal of Economic Insights》 2026年第2期56-67,共12页
Against the backdrop of the digital economy becoming a core engine for highquality regional economic development and Shandong accelerating the construction of a digital province,this paper identifies the industrial li... Against the backdrop of the digital economy becoming a core engine for highquality regional economic development and Shandong accelerating the construction of a digital province,this paper identifies the industrial life cycle of Shandong’s digital economy from 2011 to 2025 using the Logistic model.An evaluation index system is established covering four dimensions:digital infrastructure,digital industrialization,industrial digitalization,and digital governance.With the entropy weight method,it measures the digital economy development level of 16 prefecture-level cities in Shandong from 2020 to 2024 and analyzes its temporal and spatial evolution.The results show that Shandong’s digital economy is in the early growth stage,with a saturation value of 1,3986.552 billion yuan and projected growth peak in 2027.All cities achieved steady development,while the gap between leading and lagging cities widened slightly with an obvious Matthew effect.A stable three-tier spatial pattern has formed,featuring a layout of stronger east,weaker west,faster south,slower north.Industrial digitalization and digital governance serve as core driving forces,and the growth driver has shifted from infrastructure to industrial integration and technological innovation.Corresponding policy suggestions are put forward to support the balanced and high-quality development of Shandong’s digital economy. 展开更多
关键词 Digital Economy Regional Differences Entropy Weight Method Logistic Model Industrial Life Cycle
Tree Sap Flow Prediction Based on the Fusion of CEEMDAN-Copula Entropy-LSTM 认领 引用
11
作者 Zixiang Wang Kai Xu 《Journal of Electronic Research and Application》 2026年第4期170-175,共6页
Tree trunk sap flow is jointly affected by environmental factors and physiological mechanisms,showing nonlinear and random characteristics,which makes it difficult for traditional methods to achieve high-precision pre... Tree trunk sap flow is jointly affected by environmental factors and physiological mechanisms,showing nonlinear and random characteristics,which makes it difficult for traditional methods to achieve high-precision prediction.To address this problem,this paper introduces CEEMDAN to decompose the sap flow sequence at multiple scales,combines Copula entropy and signal energy to construct a modal component reconstruction strategy,and further uses LSTM to realize prediction.Experimental results show that the proposed model achieves 0.6759 and 0.9755 in MAPE and R2 indicators respectively,which is superior to the comparison models,providing a new idea for sap flow prediction and transpiration flux estimation. 展开更多
关键词 Sap flow prediction Copula entropy Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN) Environmental factors
暂未订购 下载PDF
A Review on Cracking in Laser Additive Manufacturing of Nickel-Based Superalloys:Types,Formation Mechanisms,and Suppression Strategies 认领 引用 被引量：1
12
作者 Tianxiang Lin Ciying Li +7 位作者 Hongkai Zhou Rui Chen Yi Li Can Cui Lizhang Zhang Maoyuan Li Zhenzhong Wang Wei‑Wei Xu 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期122-169,共48页
Nickel-based superalloys(Ni-based superalloys)have attracted extensive attention in laser additive manufacturing(LAM)due to their capability to directly fabricate complex and high-performance structural components.How... Nickel-based superalloys(Ni-based superalloys)have attracted extensive attention in laser additive manufacturing(LAM)due to their capability to directly fabricate complex and high-performance structural components.However,the rapid melting and solidification inherent to LAM result in intense thermal cycling,which induces high residual stresses and microstructural heterogeneity within the fabricated parts.Among them,cracks,as the most destructive defects,can have a typical crack density of over five per mm2 without optimized processes.Moreover,the sudden failures of components caused by cracks account for more than 40%of the total failures of additively manufactured nickel-based superalloy components.They can rapidly expand along grain boundaries or brittle phases,significantly weakening the mechanical properties of components and causing sudden failures.To achieve highly reliable additive manufacturing components,it is essential to conduct in-depth research on the types,formation mechanisms of cracks in Ni-based superalloys,and their relationships with microstructure,residual stress,etc.This paper systematically reviews the crack characteristics and formation mechanisms of Ni-based superalloys during the laser additive manufacturing process,post-manufacturing,and service stages and comprehensively summarizes the current mainstream crack suppression strategies,specifically including process parameter optimization,residual stress regulation,alloy composition design,and subsequent post-treatment technologies,as well as incorporating emerging machine learning-assisted methods.The review aims to provide theoretical insights and technical guidance toward the development of crack-free Ni-based superalloy components fabricated by laser additive manufacturing. 展开更多
关键词 crack formation mechanism crack suppression strategy crack types laser additive manufacturing Ni‑based superalloys
暂未订购 下载PDF
Algorithm improvement for traffic sign detection based on YOLOv8 认领 引用 被引量：1
13
作者 Dongmei MA Xuelong LYU Qirong ZHU 《Optoelectronics Letters》 EI 2026年第2期92-97,共6页
An improved algorithm for traffic sign detection based on YOLOv8 is proposed. Firstly, YOLOv8n is used as the base model of the network, the inverted residual mobile block and exponential moving average(iRMB_EMA) atte... An improved algorithm for traffic sign detection based on YOLOv8 is proposed. Firstly, YOLOv8n is used as the base model of the network, the inverted residual mobile block and exponential moving average(iRMB_EMA) attention mechanism is used to improve the model's ability to perceive small targets, which reduces the leakage detection phenomenon of the model, convolution(Conv) is upgraded to receptive-field attention convolution(RFAConv), which improves the model's ability to deal with details and complexity in the image, the idea of adaptive spatial feature fusion(ASFF) is introduced in the detection head, and the small target detection layer, a four-head detection head is designed to improve the model's ability to detect small targets, solves the case of feature loss due to cross-scale fusion, and use of the Inner-minimum points distance intersection over union(MPDIoU) loss function provides a more accurate loss metric by calculating the distance of key points between the predicted and true frames. The experimental results of this algorithm on the public dataset CCTSDB show that the improved model mean average precision(m AP) reaches 82.6%, which is 4% higher than the YOLOv8n. The experimental results of dataset TT100k show that the m AP reaches 84.5%, which is 7.1% higher than the YOLOv8n. This algorithm effectively improves the problem of detail perception and leakage of the model in the detection of small targets, and has a significant detection effect compared to other algorithms. 展开更多
关键词 inverted residual mobile block traffic sign detection perceive small targets leakage detection phenomenon YOLOv base model deal details
暂未订购 下载PDF
A Review on Cu-Based Catalysts for Dehydrogenation of Chemical Hydrides 认领 引用
14
作者 Yixing Luo Qilu Yao +4 位作者 Jianhui Xia Yongjin Zou Lixin Chen Ashish K.Singh Zhang‑Hui Lu 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期237-283,共47页
Hydrogen(H2)plays a crucial part in the building of clean and sustainable energy systems due to its advantages of being renewable,clean,and pollution-free.Nevertheless,the secure and effective production-storage-tr... Hydrogen(H2)plays a crucial part in the building of clean and sustainable energy systems due to its advantages of being renewable,clean,and pollution-free.Nevertheless,the secure and effective production-storage-transportation of H2 presents critical challenges.Carbon-based(e.g.,HCOOH),boron-based(e.g.,NaBH4,NH3BH3,and N2H4BH3),and nitrogen-based(e.g.,N2H4·H2O and NH3)chemical hydrides are considered to be prospective chemical hydrogen storage materials that effectively avoid the problems of storage and transportation of H2.The exploration of advanced catalysts with specific selectivity,satisfactory activity,and excellent chemical stability is essential for H2 production from the abovementioned chemical hydrides.Cu-based catalysts are broadly applied in the dehydrogenation of chemical hydrides for H2 production owing to their properties of cost-effectiveness,unique filled electronic configuration,and appropriate surface adsorption energy.Here,we review and highlight advanced Cu-based heterogeneous catalysts(e.g.,monometallic,bimetallic,and multimetallic catalysts,single-atom catalysts,and photocatalysts)for efficient H2 production from the dehydrogenation of carbon-based,boron-based,and nitrogen-based chemical hydrides.Finally,primary challenges and future prospects of Cu-based heterogeneous catalysts for efficient H2 production from the dehydrogenation of chemical hydrides are also discussed. 展开更多
关键词 chemical hydrides Cu‑based catalysts dehydrogenation reactions hydrogen
暂未订购 下载PDF
An uncertainty evaluation for storm surge risk analysis based on information utilization efficiency 认领 引用
15
作者 Guilin LIU Siyu DING +3 位作者 Shichun SONG Bokai YANG Pengyu ZHU Liping WANG 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2026年第2期545-559,共15页
With the development of methods for predicting extreme hydrological elements using probabilistic approaches,several commonly used methods have emerged for analyzing the risk of storm surge disasters,including the Annu... With the development of methods for predicting extreme hydrological elements using probabilistic approaches,several commonly used methods have emerged for analyzing the risk of storm surge disasters,including the Annual Maxima method,the Peak-Over-Threshold method,the Gumbel distribution,and the Weibull distribution.Meanwhile,and emphases have been placed on assessing and comparing the applicability and stability of these various methods.To evaluate the rationality of different methods,we an entropy uncertainty analysis method was introduced based on information utilization efficiency,in which the sample Stochastic uncertainty is measured by the ratio of information entropy before and after sampling,i.e.,the information extraction efficiency of the sampling method.Additionally,the cognitive uncertainty of the research method is assessed by the ratio of mutual information between the model and the sample to the information entropy of the sample,i.e.,the information extraction efficiency of the mathematical model.Furthermore,we incorporated the group probability calculation method,information entropy and mutual information theory to analyze and calculate the entropy uncertainty more accurately.By applying this analysis to the design wave height and the recurrence period projected in the sea area west Guangdong of China,we believed that the most reasonable hazard assessment method shall be based on the over-threshold method combined with the Pareto distribution.Conversely,the assessment method based on the process extreme value method is deemed insufficiently reasonable and requires further research. 展开更多
关键词 uncertainty storm surge information entropy mutual information group probability calculation method
暂未订购 下载PDF
Pharmacokinetics,efficacy,and safety of a novel aripiprazole microsphere-based long-acting injectable formulation for schizophrenia:A multicenter,randomized controlled trial 认领 引用
16
作者 An-Ning Li Sheng-Chun Jin +14 位作者 De-Wei Shang Jian-Xiong Guo Hua-Li Lin Ming Zhang Bo Wei Feng Wan Yun-Long Tan Li-Li Wang Jian-Chu Zhou Ping Liu Lian-Lian Fan Ju-Shui Sun Bin Chen Yimin Cui Gang Wang 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第1期305-308,共4页
Schizophrenia is a severe and chronic psychiatric disorder with a lifetime prevalence of approximately 0.7%–1%worldwide[1].Aripiprazole is widely used for schizophrenia treatment,and known as a dopamine system stabil... Schizophrenia is a severe and chronic psychiatric disorder with a lifetime prevalence of approximately 0.7%–1%worldwide[1].Aripiprazole is widely used for schizophrenia treatment,and known as a dopamine system stabilizer due to its partial agonist activity as the dopamine-2(D2)and serotonin 5-hydroxytryptamine 1A(5-HT1A)receptors,as well as antagonist action at the 5-HT2A receptors[2].The investigational microsphere-based aripiprazole injection in this study is a novel long-acting formulation designed to optimize the release profile at the dose of 350 mg monthly.The objective of this study was to evaluate the pharmacokinetics,efficacy,and safety of the microsphere-based formulation,particularly the fluctuations in the peak-to-trough plasma concentration ratio. 展开更多
关键词 psychiatric disorder schizophrenia long acting injectable pharmacokinetics safety aripiprazole efficacy microsphere based
暂未订购 下载PDF
Tensile creep anisotropy and analysis based on composite theory of duplex Mg-9Li-4Al-1Zn alloy with geometric and mechanical heterogeneity 认领 引用
17
作者 Takahiro Mineta Furawa Saijo Haruto Saijo 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2026年第4期358-369,共12页
The creep anisotropy of a duplex Mg-9Li-4Al-1Zn(LAZ941)alloy,possessing a lamellar microstructure with both geometric and mechanical heterogeneity,was systematically investigated.The minimum creep rate and fracture be... The creep anisotropy of a duplex Mg-9Li-4Al-1Zn(LAZ941)alloy,possessing a lamellar microstructure with both geometric and mechanical heterogeneity,was systematically investigated.The minimum creep rate and fracture behavior were dependent on the geometric relationship between the tensile stress axis and the phase boundaries.Specifically,the creep resistance was superior when the stress axis was parallel to the phase boundaries compared to the perpendicular orientation.This anisotropy was found to originate from the distinct mechanical responses of the layered microstructure,which can be consistently explained by a composite theory.When loaded parallel to the phase boundaries,the hard and soft phases deform under an isostrain condition.As a result,the macroscopic creep behavior is strongly influenced by the more creep-resistant α phase,leading to a low creep rate and a stress exponent approaching that of the α phase.Conversely,when loaded perpendicular to the phase boundaries,the constituent phases deform under an isostress condition.This concentrates strain within the softer β phase,resulting in a high creep rate and a stress exponent approaching that of the β phase.These findings provide a foundational framework for the composite-theory-based design of materials possessing a lamellar structure. 展开更多
关键词 Mg-Li based alloy Creep Anisotropy Composite theory Spinodal decomposition
暂未订购 下载PDF
Cs2SnI6:A Perovskite-Based Electromagnetic Wave Absorbing Material 认领 引用
18
作者 Fei Han Wei‑Ping Ye +9 位作者 Ling‑Ling Wang Feng Liu Qing Pang Xi Yan Yue Zhang Zi‑Dong Zhang Wei‑Dong Xue Wen‑Jian Wang Rui Zhao Xiao‑Yu Yang 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期650-660,共11页
Lead halide perovskites and carbon-based materials are interesting,high-performing electromagnetic wave absorbing materials.However,only a few studies have been carried out to examine in detail the electromagnetic wav... Lead halide perovskites and carbon-based materials are interesting,high-performing electromagnetic wave absorbing materials.However,only a few studies have been carried out to examine in detail the electromagnetic wave absorption properties of these materials.Moreover,because most perovskites contain lead and have low structural stabilities,concerns exist about the potential environmental and biological toxicity impacts associated with their use.In this effort,we demonstrate for the first time that the novel,non-toxic,and lead-free inorganic halide perovskite Cs2SnI6 absorbs electromagnetic waves.Specifically,we show that the SnI4-derived Cs2SnI6 perovskite can be synthesized by using a one-step solution-based method and that it has an effective absorption bandwidth of 6.4 GHz at a thickness of 1.9 mm.The outstanding performance profile of this material is attributed to dipole-like oscillation of cations and anions within Cs2SnI6 under alternating electromagnetic wave fields caused by mismatched motion of phases having different charges and masses that leads to dipole polarization.Furthermore,an investigation of sources for this effect provides valuable insights into the interrelationship that exists between impedance matching characteristics and electromagnetic wave absorption performance,which should highly benefit future designs of novel halide perovskite-based absorbing materials. 展开更多
关键词 Cs₂SnI₆‑based perovskite dipole polarization electromagnetic wave absorber I vacancies
暂未订购 下载PDF
Cu-Based Catalysts Design Toward Electrochemical CO2 Reduction to Valuable Multi-Carbons Products 认领 引用
19
作者 Li‑Qing Li Min‑Xiao Huang +3 位作者 Hong Ke Wei‑Wei Zhu Jing‑Hua Zhao Li‑Hua Zhu 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期284-303,共20页
Electrochemical reduction of CO2 to multi-carbon products(e.g.,C2+ ,ethene,ethanol,etc.)not only effectively decreases the CO2 concentration in atmosphere but also shows great potential economic benefits due ... Electrochemical reduction of CO2 to multi-carbon products(e.g.,C2+ ,ethene,ethanol,etc.)not only effectively decreases the CO2 concentration in atmosphere but also shows great potential economic benefits due to these exploitable value-added products.The Cu-based catalysts have caught much attention in CO2 electroreduction due to the good selectivity to hydrocarbons products.However,designing appropriate Cu-based catalysts is desirable to further improve the energy efficiency and selectivity of specific C2+ product.In this review,primary pathways of CO2 electroreduction to C2+ products are first discussed to summarize the key elementary steps of C2+ products formation.Subsequently,various strategies of catalytic activity regulation of Cu-based catalysts are classified into geometric and electronic structures modification based on the inner correlation between these strategies and the mechanism of C2+ products formation.The review ends with a cross-scale perspective that links the selectivity enhancement of a specific C2+ product and the target design of Cu-based catalysts. 展开更多
关键词 catalytic activity regulation Cu‑based catalysts electrochemical CO2reduction
暂未订购 下载PDF
Boundary Decision-Based Multi-Objective Robust Optimization for Microgrid Dispatching 认领 引用
20
作者 Junjian Wu Jingliao Sun +2 位作者 Yejun Xiang Zhenyu Zhou Zhengchai Shi 《Energy Engineering》 EI 2026年第7期404-423,共20页
The inherent unpredictability of renewable energy generation poses significant challenges to the reliable and economic dispatch of grid-connected microgrids.In response,this paper proposes a novel robust optimization ... The inherent unpredictability of renewable energy generation poses significant challenges to the reliable and economic dispatch of grid-connected microgrids.In response,this paper proposes a novel robust optimization strategy grounded in uncertain boundary decision-making and enhanced through innovations in the multi-objective cross-entropy method.An uncertainty budget-aware environmental economic dispatch model is first established,integrating photovoltaic and wind power generation.By employing mathematical sophistication-particularly Lagrangian transformation-the proposed method effectively resolves embedded uncertainties,transforming the original model into a deterministic multi-objective optimization framework robust against renewable energy volatility.Furthermore,by incorporating the dynamic operational demands of microgrids,this paper culminates in a robust optimization approach that is both fundamentally based on and adaptively responsive to uncertainty boundaries.To address the critical challenges of convergence and diversity in multi-objective optimization,crossover operators and an adaptive parameter update mechanism are introduced,significantly refining the conventional multi-objective cross-entropy algorithm.Case studies demonstrate the rationality and effectiveness of the proposed dispatch strategy and corroborate the superior performance and applicability of the enhanced algorithm. 展开更多
关键词 Microgrid environmental economic dispatch uncertain boundary robust optimization multi-objective cross entropy algorithm
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈